



def  lowerCAmelCase_	(lowerCAmelCase__:		bytes  ):





			"""simple docstring"""


			return "".join([hex(lowerCAmelCase__  )[2:].zfill(2  ).upper() for byte in list(lowerCAmelCase__  )]  )







def  lowerCAmelCase_	(lowerCAmelCase__:		str  ):





			"""simple docstring"""


			if (len(lowerCAmelCase__  ) % 2) != 0:
						raise ValueError(
						    """Base16 encoded data is invalid:
Data does not have an even number of hex digits."""  )
			# Check the character set - the standard base16 alphabet
			# is uppercase according to RFC3548 section 6
			if not set(lowerCAmelCase__  ) <= set("""0123456789ABCDEF"""  ):
						raise ValueError(
						    """Base16 encoded data is invalid:
Data is not uppercase hex or it contains invalid characters."""  )
			# For every two hexadecimal digits (= a byte), turn it into an integer.
			# Then, string the result together into bytes, and return it.
			return bytes(int(data[i] + data[i + 1]		,						1_6  ) for i in range(0		,						len(lowerCAmelCase__  )		,						2  )  )


if __name__ == "__main__":
	import doctest

	doctest.testmod()











from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


a      :  Optional[Any]			     =			{
    'configuration_mvp': ['MVP_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MvpConfig', 'MvpOnnxConfig'],
    'tokenization_mvp': ['MvpTokenizer'],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a      :  str			     =			['MvpTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	a      :  Optional[Any]			     =			[
	    'MVP_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'MvpForCausalLM',
	    'MvpForConditionalGeneration',
	    'MvpForQuestionAnswering',
	    'MvpForSequenceClassification',
	    'MvpModel',
	    'MvpPreTrainedModel',
	]

if TYPE_CHECKING:
	from .configuration_mvp import MVP_PRETRAINED_CONFIG_ARCHIVE_MAP, MvpConfig, MvpOnnxConfig
	from .tokenization_mvp import MvpTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mvp_fast import MvpTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mvp import (
		    MVP_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MvpForCausalLM,
		    MvpForConditionalGeneration,
		    MvpForQuestionAnswering,
		    MvpForSequenceClassification,
		    MvpModel,
		    MvpPreTrainedModel,
		)

else:
	import sys

	a      :  Optional[Any]			     =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






